March 9, 2023
Time’s up: nearly everyone agrees it’s about time to become serious about bringing security safeguards to high-performance computing systems, which has been Read more…
January 20, 2023
Security of high-performance computers is being neglected in the pursuit of horsepower, and there are concerns that the ignorance may be costly if safeguards ar Read more…
May 28, 2020
The U.S. military is ramping up efforts to secure semiconductors and its electronics supply chain by embedding defenses during the chip design phase. The automa Read more…
October 25, 2019
In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programm Read more…
June 7, 2019
Thanks to their flexibility, field-programmable gate arrays (FPGAs) are often a first choice during system development – however, a new report by scientists f Read more…
December 12, 2018
Supermicro, the subject of media reports two months ago alleging that spies in China hacked Supermicro servers widely distributed throughout the U.S. technology supply chain, has followed up its initial vehement denials with a letter sent yesterday to customers stating a third party investigations firm had “found absolutely no evidence of malicious hardware on our motherboards.” Read more…
May 31, 2018
Graphics processing unit (GPU), although a powerful performance-booster, also has many security vulnerabilities. Due to these, the GPU can act as a safe-haven for stealthy malware and the weakest ‘link’ in the security ‘chain’. It is time we look into GPU security more closely... Read more…
April 4, 2018
In Intel's latest (and possibly its final) update to its Meltdown and Spectre mitigation guide, published April 3, the company revealed that a number of its old Read more…
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
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